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The Challenge of Cloud Control

Kihl, Maria LU ; Elmroth, Erik; Tordsson, Johan; Årzén, Karl-Erik LU and Robertsson, Anders LU (2013) 8th International Workshop on Feedback Computing
Abstract
Today’s cloud data center infrastructures are not even near being able to cope with the enormous and rapidly varying capacity demands that will be reality in a near future. So far, very little is understood about how to transform today’s data centers (being large, power-hungry facilities, and operated through heroic efforts by numerous administrators) into a self-managed, dynamic, and dependable infrastructure, constantly delivering expected QoS with reasonable operation costs and acceptable carbon footprint for large-scale services with sometimes dramatic variations in capacity demands. In this paper, we discuss some of the major challenges for resource-optimized cloud data center. We propose a new research area called Cloud Control,... (More)
Today’s cloud data center infrastructures are not even near being able to cope with the enormous and rapidly varying capacity demands that will be reality in a near future. So far, very little is understood about how to transform today’s data centers (being large, power-hungry facilities, and operated through heroic efforts by numerous administrators) into a self-managed, dynamic, and dependable infrastructure, constantly delivering expected QoS with reasonable operation costs and acceptable carbon footprint for large-scale services with sometimes dramatic variations in capacity demands. In this paper, we discuss some of the major challenges for resource-optimized cloud data center. We propose a new research area called Cloud Control, which is a control theoretic approach to a range of cloud management problems, aiming to transform today´s static and energy consuming cloud data centers into self-managed, dynamic, and dependable infrastructures, constantly delivering expected quality of service with acceptable operation costs and carbon footprint for large-scale services with varying capacity demands. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
8th International Workshop on Feedback Computing
publisher
USENIX Association
conference name
8th International Workshop on Feedback Computing
conference location
San Jose, CA, United States
conference dates
2013-06-25
project
LCCC
language
English
LU publication?
yes
id
991c67bc-dd8b-44c6-9ce7-d0a1a4fcb00f (old id 3957537)
date added to LUP
2013-08-05 13:46:24
date last changed
2018-11-21 20:59:44
@inproceedings{991c67bc-dd8b-44c6-9ce7-d0a1a4fcb00f,
  abstract     = {Today’s cloud data center infrastructures are not even near being able to cope with the enormous and rapidly varying capacity demands that will be reality in a near future. So far, very little is understood about how to transform today’s data centers (being large, power-hungry facilities, and operated through heroic efforts by numerous administrators) into a self-managed, dynamic, and dependable infrastructure, constantly delivering expected QoS with reasonable operation costs and acceptable carbon footprint for large-scale services with sometimes dramatic variations in capacity demands. In this paper, we discuss some of the major challenges for resource-optimized cloud data center. We propose a new research area called Cloud Control, which is a control theoretic approach to a range of cloud management problems, aiming to transform today´s static and energy consuming cloud data centers into self-managed, dynamic, and dependable infrastructures, constantly delivering expected quality of service with acceptable operation costs and carbon footprint for large-scale services with varying capacity demands.},
  author       = {Kihl, Maria and Elmroth, Erik and Tordsson, Johan and Årzén, Karl-Erik and Robertsson, Anders},
  language     = {eng},
  location     = {San Jose, CA, United States},
  publisher    = {USENIX Association},
  title        = {The Challenge of Cloud Control},
  year         = {2013},
}